Package: countgmifs 0.0.2

countgmifs: Discrete Response Regression for High-Dimensional Data

Provides a function for fitting Poisson and negative binomial regression models when the number of parameters exceeds the sample size, using the the generalized monotone incremental forward stagewise method.

Authors:Kellie Archer [aut, cre]

countgmifs_0.0.2.tar.gz
countgmifs_0.0.2.zip(r-4.7)countgmifs_0.0.2.zip(r-4.6)countgmifs_0.0.2.zip(r-4.5)
countgmifs_0.0.2.tgz(r-4.6-any)countgmifs_0.0.2.tgz(r-4.5-any)
countgmifs_0.0.2.tar.gz(r-4.7-any)countgmifs_0.0.2.tar.gz(r-4.6-any)
countgmifs_0.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
countgmifs/json (API)
NEWS

# Install 'countgmifs' in R:
install.packages('countgmifs', repos = c('https://kelliejarcher.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/kelliejarcher/countgmifs/issues

On CRAN:

Conda:

3.70 score 1 scripts 150 downloads 1 mentions 1 exports 1 dependencies

Last updated from:b94d7caea3. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK107
source / vignettesOK149
linux-release-x86_64OK144
macos-release-arm64OK102
macos-oldrel-arm64OK97
windows-develOK64
windows-releaseOK63
windows-oldrelOK67
wasm-releaseOK89

Exports:countgmifs

Dependencies:MASS

An R Package for Discrete Response Modeling for High-Dimensional Data

Rendered fromcountgmifs.rnwusingutils::Sweaveon May 28 2026.

Last update: 2022-04-06
Started: 2022-04-06